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Current and future evolutions in labour markets may be blurring lines between traditionalemployment and new types of atypical employment, making it harder to reliably assess whethersomeone is receiving any benefits at all. The basic income should be seen as a serious option inthe future, given the changing labor market and the findings from existing cash transfer schemes.BI is not means-tested, so the amount received does not depend on individual or family income orassets and does not require any work performance, or the willingness to accept a job if offered.In this study I examine the created image by the media through the method of contentanalysis, in relation to basic income. Furthermore, it is analyzed to what extent this effect createsa negative image of basic income among the students of the University of Debrecen, strengtheningthe fear towards this social policy tool. Particular attention is paid to the value choices of youngpeople focusing on their individualization, motivation of working and willingness to take risks.

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One of the world's largest video-sharing platforms is YouTube, where viewers can comment onthe videos and their topics. The aim of this study is to examine the values and opinions aboutunconditional basic income according to the comment sections of several Youtube's videos whichtopic is the previously mentioned UBI which is receiving increasing attention in parallel withtoday's economic and social changes. Our research works with a mixed method, data collection,storage, sentiment analysis and the bag of words method which were implemented using ITprocedures, while categorization was done through manual coding. The results of the sentimentanalysis show that positive arguments appear to a lesser extent in the comments. Positivearguments have value characteristics such as inclusion, the principle of the right to exist, justiceand freedom. Among the positive arguments feasibility enjoys the highest support. Negativecategory values arise more frequently, so the emphasis on the values of injustice, exclusion,unaffordability, and performance-orientation is dominant in the analyzed comments.

The study presents the structure and intensity of the relationships of the Hungarian population over 16 years of age through a descriptive analysis of four variables measuring the frequency of personal and distance contact with relatives and friends from the EU-SILC 2015 survey. Ac­cording to the data, the relationship structure is on average balanced, half of the relationships are related to relatives or friends, and the relative proportions of personal and long-distance relationships are similar. According to our results, in addition to age, the financial situation of the household has a significant correlation with the characteristics of the relationship structu­re. One of the lessons of multivariate regression models is that the effect of other background variables on the relationship structure intensifies in parallel with aging, leading to a deepening of relationship inequalities among the elderly. Another lesson of the models is that the inclu­sion of household characteristics (financial situation, number of household members, material transfer relationship with other households) has a significant effect on the mechanism of indi­vidual background variables, thus confirming that a deeper study of relationship intensity and relationship structure within the household is essential. At the end of our analysis, we compiled clusters based on the intensity of relationships, the direction of relationships, and the channel of contacting, with a relative majority of more than one-third of the respondents with extremely weak relationship embeddedness.

The study aims at comparing the Hungarian results of the questions on the frequency of personal and distance contact with relatives and friends in the 2006 and 2015 ad hoc modules of EU-SILC. According to our results, in line with the findings of previous Hungarian research, compared to 2006, there were fewer contacts in Hungary in 2015. Relations with friends, especially those held in person, were less exposed to weakening compared to relations with relatives. Among the different social groups, the already disadvantaged were typically negatively affected by either the change in intensity or the structure of relationships. However, the situation of the elderly and the inhabitants of deprived households deteriorated in all three dimensions examined: their re­lations weakened more strongly, and those related to relatives and personal ones further narro­wed by 2015. This result indicates that the social disintegration of these groups has accelerated particularly between the two years, which poses a serious social policy challenge.

The study aims at comparing the Hungarian results of the questions on the frequency of personal and distance contact with relatives and friends in the 2006 and 2015 ad hoc modules of EU-SILC. According to our results, in line with the findings of previous Hungarian research, compared to 2006, there were fewer contacts in Hungary in 2015. Relations with friends, especially those held in person, were less exposed to weakening compared to relations with relatives. Among the different social groups, the already disadvantaged were typically negatively affected by either the change in intensity or the structure of relationships. However, the situation of the elderly and the inhabitants of deprived households deteriorated in all three dimensions examined: their relations weakened more strongly, and those related to relatives and personal ones further narrowed by 2015. This result indicates that the social disintegration of these groups has accelerated particularly between the two years, which poses a serious social policy challenge.

The study presents the structure and intensity of the relationships of the Hungarian population over 16 years of age through a descriptive analysis of four variables measuring the frequency of personal and distance contact with relatives and friends from the EU-SILC 2015 survey. According to the data, the relationship structure is on average balanced, half of the relationships are related to relatives or friends, and the relative proportions of personal and long-distance relationships are similar. According to our results, in addition to age, the financial situation of the household has a significant correlation with the characteristics of the relationship structure. One of the lessons of multivariate regression models is that the effect of other background variables on the relationship structure intensifies in parallel with aging, leading to a deepening of relationship inequalities among the elderly. Another lesson of the models is that the inclusion of household characteristics (financial situation, number of household members, material transfer relationship with other households) has a significant effect on the mechanism of individual background variables, thus confirming that a deeper study of relationship intensity and relationship structure within the household is essential. At the end of our analysis, we compiled clusters based on the intensity of relationships, the direction of relationships, and the channel of contacting, with a relative majority of more than one-third of the respondents with extremely weak relationship embeddedness.